mitigation USA...

[legg]

A quick list with ppm breakdown of this week\'s covid19
stats for US states:

State cases deaths FR tests detect
ppm ppm % %pop rate %
MN 52766 1358 3 80 6.6
LA 30993 1032 3 39 8.0
FL 28162 499 2 21 13.6
AZ 27373 658 2 16 17.1
MS 26579 778 3 18 14.5
GA 24373 496 2 21 11.6
AL 23927 415 2 19 12.6
NY 22091 1300 6 40 5.6
SC 22037 491 2 18 12.5
NV 21563 399 2 19 11.5
NJ 21399 1796 8 30 7.0
TN 21291 238 1 30 7.0
TX 20232 399 2 16 12.4
RI 20162 981 5 24 8.3
DC 19273 856 4 38 5.0
MA 18348 1300 7 23 7.8
IA 18131 333 2 19 9.7
IL 17707 641 4 30 5.9
DE 17433 619 4 23 7.5
MD 17363 613 4 21 8.4
CA 17040 310 2 27 6.3
ID 16799 176 1 13 12.5
NE 16605 198 1 18 9.4
UT 15504 124 1 20 7.9
NC 15023 245 2 20 7.5
CT 14577 1252 9 30 4.8
OK 13680 188 1 21 6.5
ND 13458 151 1 25 5.3
VA 13423 292 2 18 7.6
KS 13196 146 1 13 9.9
WI 13156 189 1 21 6.3
IN 13138 481 4 15 8.7
SD 13015 182 1 16 8.4
MO 12481 235 2 15 8.3
NM 11652 356 3 35 3.4
MI 10864 669 6 26 4.2
PA 10159 594 6 12 8.3
KY 9970 200 2 17 5.7
OH 9956 342 3 17 5.7
PR 9630 124 1 11 9.1
WA 9391 245 3 13 7.0
VI 9073 113 1 14 6.8
AR 7881 98 1 9 8.5
CO 6908 317 5 11 8.5
WY 6276 64 1 12 5.2
MT 6191 91 1 22 2.8
OR 6017 101 2 13 4.8
GU 5857 42 1 20 2.9
NH 5257 316 6 15 3.6
WV 5249 104 2 23 2.3
HI 4918 35 1 13 3.9
VT 2535 93 4 20 1.3
AK 1882 12 1 11 1.7
ME 774 23 3 4 1.8
AS 0 0 na 0 0.0

There may be errors.
I couldn\'t find a daily detection rate, or
daily test rate, so this is all long-term
bulk (or bull).

RL

 

[Andy Bennet]

On 26/08/2020 09:26, legg wrote:

A quick list with ppm breakdown of this week\'s covid19
stats for US states:

I couldn\'t find a daily detection rate, or
daily test rate, so this is all long-term
bulk (or bull).

RL

https://www.worldometers.info/coronavirus/country/us/

 

[legg]

On Wed, 26 Aug 2020 04:26:34 -0400, legg <legg@nospam.magma.ca> wrote:

typos - had Minnesota\'s and Maine\'s population mixed up

my apologies.

State cases deaths FR tests detect
ppm ppm % %pop rate %
LA 31001 1032 3 39 8.0
FL 28192 499 2 21 13.6
AZ 27377 658 2 16 17.1
MS 26614 778 3 18 14.5
GA 24333 496 2 21 11.6
AL 23911 415 2 19 12.6
NY 22144 1300 6 40 5.6
SC 22042 491 2 18 12.5
NV 21562 399 2 19 11.5
NJ 21393 1796 8 30 7.0
TN 21293 238 1 30 7.0
TX 20235 399 2 16 12.4
RI 20174 981 5 24 8.3
DC 19389 856 4 38 5.0
MA 18342 1300 7 23 7.8
IA 18159 333 2 19 9.7
IL 17747 641 4 30 5.9
DE 17419 619 4 23 7.5
MD 17375 613 4 21 8.4
CA 17035 310 2 27 6.3
ID 16826 176 1 13 12.5
NE 16567 198 1 18 9.4
UT 15523 124 1 20 7.9
NC 15040 245 2 20 7.5
CT 14596 1252 9 30 4.8
OK 13690 188 1 21 6.5
VA 13430 292 2 18 7.6
ND 13423 151 1 25 5.3
KS 13181 146 1 13 9.9
IN 13134 481 4 15 8.7
WI 13106 189 1 21 6.3
SD 13005 182 1 16 8.4
MN 12538 324 3 19 6.6
MO 12487 235 2 15 8.3
NM 11670 356 3 35 3.4
MI 10878 669 6 26 4.2
PA 10157 594 6 12 8.3
KY 9976 200 2 17 5.7
OH 9966 342 3 17 5.7
PR 9619 124 1 11 9.1
CO 9610 317 3 11 8.5
VI 9394 113 1 14 6.8
WA 9373 245 3 13 7.0
AR 7882 98 1 9 8.5
WY 6279 64 1 12 5.2
MT 6198 91 1 22 2.8
OR 6020 101 2 13 4.8
GU 5840 42 1 20 2.9
NH 5258 316 6 15 3.6
WV 5242 104 2 23 2.3
HI 4933 35 1 13 3.9
ME 3249 97 3 18 1.8
VT 2519 93 4 20 1.3
AK 1878 12 1 11 1.7
AS 0 0 na 0 0.0

There may be errors.
I couldn\'t find a daily detection rate, or
daily test rate, so this is all long-term
bulk (or bull).

RL

 

[John Larkin]

On Wed, 26 Aug 2020 13:08:00 +0100, Andy Bennet <andyb@andy.com>
wrote:

On 26/08/2020 09:26, legg wrote:

A quick list with ppm breakdown of this week\'s covid19
stats for US states:

I couldn\'t find a daily detection rate, or
daily test rate, so this is all long-term
bulk (or bull).

RL


https://www.worldometers.info/coronavirus/country/us/

Brazil just bumped the USA out of the #10 spot for PPM deaths.

This is like watching a snail race. In the winter.

 

[Bill Sloman]

On Friday, August 28, 2020 at 7:49:47 AM UTC+10, John Larkin wrote:

On Wed, 26 Aug 2020 13:08:00 +0100, Andy Bennet <an...@andy.com
wrote:
On 26/08/2020 09:26, legg wrote:

A quick list with ppm breakdown of this week\'s covid19
stats for US states:

I couldn\'t find a daily detection rate, or
daily test rate, so this is all long-term
bulk (or bull).


https://www.worldometers.info/coronavirus/country/us/
Brazil just bumped the USA out of the #10 spot for PPM deaths.

This is like watching a snail race. In the winter.

Except that the numbers represent real human beings dying because idiot politicians can\'t bring themselves to act in a way that will slow down the deaths, but also slows down the economy (but just for a bit - if you do it right).

--
Bill Sloman, Sydney

 

[Tom Del Rosso]

legg wrote:

On Wed, 26 Aug 2020 04:26:34 -0400, legg <legg@nospam.magma.ca> wrote:

typos - had Minnesota\'s and Maine\'s population mixed up

my apologies.

State cases deaths FR tests detect
ppm ppm % %pop rate %
LA 31001 1032 3 39 8.0
FL 28192 499 2 21 13.6

Headers and columns don\'t match. With a monospaced font it\'s still
unclear since \'deaths\' seems to be above \'%\' and 1358. Is that 1358% of
cases?

 

[legg]

On Thu, 27 Aug 2020 19:21:29 -0400, \"Tom Del Rosso\"
<fizzbintuesday@that-google-mail-domain.com> wrote:

legg wrote:
On Wed, 26 Aug 2020 04:26:34 -0400, legg <legg@nospam.magma.ca> wrote:

typos - had Minnesota\'s and Maine\'s population mixed up

my apologies.

State cases deaths FR tests detect
ppm ppm % %pop rate %
LA 31001 1032 3 39 8.0
FL 28192 499 2 21 13.6

State cases deaths FR tests detect
ppm ppm % %pop rate %
LA 31001 1032 3 39 8.0
FL 28192 499 2 21 13.6

Headers and columns don\'t match. With a monospaced font it\'s still
unclear since \'deaths\' seems to be above \'%\' and 1358. Is that 1358% of
cases?

The number 1358 doesn\'t appear in the table.

Looks ok in Agent (all defaults), or as formatted in notepad
Columns are separated by a tab space.

Cases are (cases/population)x10E^6ppm.
Deaths are (deaths/population)x10E^6ppm
FR (Fatality Rate) is (deaths/cases)x100%
tests %pop is (tests/population)x100%
\"detect rate %\" is (detections/tests)x100%

RL

 

[server]

On Fri, 28 Aug 2020 09:00:17 -0400, legg <legg@nospam.magma.ca> wrote:

On Thu, 27 Aug 2020 19:21:29 -0400, \"Tom Del Rosso\"
fizzbintuesday@that-google-mail-domain.com> wrote:

legg wrote:
On Wed, 26 Aug 2020 04:26:34 -0400, legg <legg@nospam.magma.ca> wrote:

typos - had Minnesota\'s and Maine\'s population mixed up

my apologies.

State cases deaths FR tests detect
ppm ppm % %pop rate %
LA 31001 1032 3 39 8.0
FL 28192 499 2 21 13.6

State cases deaths FR tests detect
ppm ppm % %pop rate %
LA 31001 1032 3 39 8.0
FL 28192 499 2 21 13.6

LA probably has the highest ratio of fried-food restaurants to health
clubs of any state in the USA. Lots of obesity and smoking and
drinking and socializing too. Nobody wants to go out jogging when the
temp and humidity are both over 95 and the mosquitoes are fighting for
access to your surface.

The state-to-state variation in PPM death rate is astonishing. And not
well explained.

NJ 1804
CA 321
WY 64

Population density probably explains a lot of it.



--

John Larkin Highland Technology, Inc

Science teaches us to doubt.

Claude Bernard

 

[legg]

On Fri, 28 Aug 2020 07:48:56 -0700, jlarkin@highlandsniptechnology.com
wrote:

On Fri, 28 Aug 2020 09:00:17 -0400, legg <legg@nospam.magma.ca> wrote:

On Thu, 27 Aug 2020 19:21:29 -0400, \"Tom Del Rosso\"
fizzbintuesday@that-google-mail-domain.com> wrote:

legg wrote:
On Wed, 26 Aug 2020 04:26:34 -0400, legg <legg@nospam.magma.ca> wrote:

typos - had Minnesota\'s and Maine\'s population mixed up

my apologies.

State cases deaths FR tests detect
ppm ppm % %pop rate %
LA 31001 1032 3 39 8.0
FL 28192 499 2 21 13.6

State cases deaths FR tests detect
ppm ppm % %pop rate %
LA 31001 1032 3 39 8.0
FL 28192 499 2 21 13.6

LA probably has the highest ratio of fried-food restaurants to health
clubs of any state in the USA. Lots of obesity and smoking and
drinking and socializing too. Nobody wants to go out jogging when the
temp and humidity are both over 95 and the mosquitoes are fighting for
access to your surface.

The state-to-state variation in PPM death rate is astonishing. And not
well explained.

NJ 1804
CA 321
WY 64

Population density probably explains a lot of it.

States hit earliest have the highest death rate.

No experience in many areas of the health care \'practise\'.

Early clusters amongst the aged and infirm, from religious
and holiday gatherings around Easter.

Early overloading of facilities.

Result was higher early fatality rates - any statistic that\'s
cummulative will carry that stink for a considerable time.

RL

 

[server]

On Fri, 28 Aug 2020 12:45:57 -0400, legg <legg@nospam.magma.ca> wrote:

On Fri, 28 Aug 2020 07:48:56 -0700, jlarkin@highlandsniptechnology.com
wrote:

On Fri, 28 Aug 2020 09:00:17 -0400, legg <legg@nospam.magma.ca> wrote:

On Thu, 27 Aug 2020 19:21:29 -0400, \"Tom Del Rosso\"
fizzbintuesday@that-google-mail-domain.com> wrote:

legg wrote:
On Wed, 26 Aug 2020 04:26:34 -0400, legg <legg@nospam.magma.ca> wrote:

typos - had Minnesota\'s and Maine\'s population mixed up

my apologies.

State cases deaths FR tests detect
ppm ppm % %pop rate %
LA 31001 1032 3 39 8.0
FL 28192 499 2 21 13.6

State cases deaths FR tests detect
ppm ppm % %pop rate %
LA 31001 1032 3 39 8.0
FL 28192 499 2 21 13.6

LA probably has the highest ratio of fried-food restaurants to health
clubs of any state in the USA. Lots of obesity and smoking and
drinking and socializing too. Nobody wants to go out jogging when the
temp and humidity are both over 95 and the mosquitoes are fighting for
access to your surface.

The state-to-state variation in PPM death rate is astonishing. And not
well explained.

NJ 1804
CA 321
WY 64

Population density probably explains a lot of it.

States hit earliest have the highest death rate.

Or maybe the earliest cases in one region have the high death rate. A
few unfortunate places now have a second bump with high deaths, but
most second bumps are relatively benign. I think it kills off the
vulnerable first, which suggests that the virus is much more prevalant
than generally suspected.

No experience in many areas of the health care \'practise\'.

Early clusters amongst the aged and infirm, from religious
and holiday gatherings around Easter.

Yes. That may explain the early cull. Massive failure of health
policy.

Early overloading of facilities.

Result was higher early fatality rates - any statistic that\'s
cummulative will carry that stink for a considerable time.

RL

--

John Larkin Highland Technology, Inc

Science teaches us to doubt.

Claude Bernard

 

[Bill Sloman]

On Saturday, August 29, 2020 at 3:47:49 AM UTC+10, jla...@highlandsniptechnology.com wrote:

On Fri, 28 Aug 2020 12:45:57 -0400, legg <le...@nospam.magma.ca> wrote:

On Fri, 28 Aug 2020 07:48:56 -0700, jla...@highlandsniptechnology.com
wrote:

On Fri, 28 Aug 2020 09:00:17 -0400, legg <le...@nospam.magma.ca> wrote:

On Thu, 27 Aug 2020 19:21:29 -0400, \"Tom Del Rosso\"
fizzbin...@that-google-mail-domain.com> wrote:

legg wrote:
On Wed, 26 Aug 2020 04:26:34 -0400, legg <le...@nospam.magma.ca> wrote:

<snip>

Population density probably explains a lot of it.

States hit earliest have the highest death rate.
Or maybe the earliest cases in one region have the high death rate. A
few unfortunate places now have a second bump with high deaths, but
most second bumps are relatively benign. I think it kills off the
vulnerable first, which suggests that the virus is much more prevalant
than generally suspected.

A more realistic observation is that the elderly get a lot more cautious once they\'ve realsied that they are more likely to die.

Second bumps tend to be driven by irresponsible youngsters, who aren\'t good at caution and happen to be much less likely to die.

There\'s no need to postulate any difference in the likelyhood of getting the disease, or any imaginary population of people who have got infected without knowing it. Some 15+/3% of the population that has tested positive for Covdi-19 never showed any symptoms, but John Larkin wants this proportion to be much larger so he can see people going back to work sooner, long before the epidmeic has been brought under comtrol.

No experience in many areas of the health care \'practise\'.

Early clusters amongst the aged and infirm, from religious
and holiday gatherings around Easter.

Yes. That may explain the early cull. Massive failure of health policy.

Unwillingness to recognsie that there was an epidemic going, and unfortunate ignorance of what could have be done - and should have been done - to stop the epidemic in it\'s tracks.

Early overloading of facilities.

Result was higher early fatality rates - any statistic that\'s
cummulative will carry that stink for a considerable time.

People do tend to stay dead.

--
Bill Sloman, Sydney